Saeed Rouhani

912 total citations
47 papers, 606 citations indexed

About

Saeed Rouhani is a scholar working on Management Information Systems, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Saeed Rouhani has authored 47 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Information Systems, 13 papers in Information Systems and Management and 10 papers in Management Science and Operations Research. Recurrent topics in Saeed Rouhani's work include Big Data and Business Intelligence (21 papers), Information Technology Governance and Strategy (14 papers) and ERP Systems Implementation and Impact (12 papers). Saeed Rouhani is often cited by papers focused on Big Data and Business Intelligence (21 papers), Information Technology Governance and Strategy (14 papers) and ERP Systems Implementation and Impact (12 papers). Saeed Rouhani collaborates with scholars based in Iran, United Kingdom and Singapore. Saeed Rouhani's co-authors include Mostafa Jafari, Mehdi Ghazanfari, Ahad Zare Ravasan, Samira Afshari, Amir Ashrafi, Nastaran Hajiheydari, Hsiao‐Ting Tseng, Nick Hajli, Farid Shirazi and Taha Mansouri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Artificial Intelligence in Medicine.

In The Last Decade

Saeed Rouhani

42 papers receiving 559 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saeed Rouhani Iran 12 330 173 159 105 77 47 606
Agung Wahyudi Netherlands 3 335 1.0× 119 0.7× 186 1.2× 78 0.7× 91 1.2× 7 512
Jan vom Brocke Germany 7 399 1.2× 172 1.0× 130 0.8× 63 0.6× 107 1.4× 13 609
Wendy Günther Netherlands 4 375 1.1× 194 1.1× 161 1.0× 75 0.7× 102 1.3× 6 593
Barbara Dinter Germany 12 285 0.9× 115 0.7× 113 0.7× 52 0.5× 127 1.6× 51 500
Vlad Krotov United States 13 231 0.7× 123 0.7× 83 0.5× 110 1.0× 141 1.8× 29 580
Padmanav Acharya India 14 359 1.1× 388 2.2× 99 0.6× 86 0.8× 79 1.0× 32 676
Min-Chun Yu Taiwan 13 204 0.6× 178 1.0× 194 1.2× 40 0.4× 61 0.8× 24 642
Marcelo Bronzo Ladeira Brazil 11 384 1.2× 314 1.8× 106 0.7× 44 0.4× 70 0.9× 47 730
Nikolaos A. Panayiotou Greece 14 269 0.8× 258 1.5× 88 0.6× 71 0.7× 49 0.6× 34 561
Paul Hawking Australia 13 439 1.3× 174 1.0× 76 0.5× 125 1.2× 127 1.6× 42 729

Countries citing papers authored by Saeed Rouhani

Since Specialization
Citations

This map shows the geographic impact of Saeed Rouhani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Saeed Rouhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Rouhani more than expected).

Fields of papers citing papers by Saeed Rouhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saeed Rouhani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Saeed Rouhani. The network helps show where Saeed Rouhani may publish in the future.

Co-authorship network of co-authors of Saeed Rouhani

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Rouhani. A scholar is included among the top collaborators of Saeed Rouhani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saeed Rouhani. Saeed Rouhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rouhani, Saeed, et al.. (2024). Text analytics and new service development: a hybrid thematic analysis with systematic literature review approach. EuroMed Journal of Business. 21(1). 193–233. 2 indexed citations
2.
Rouhani, Saeed, et al.. (2024). Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification. Artificial Intelligence in Medicine. 157. 102980–102980. 1 indexed citations
3.
Rouhani, Saeed, et al.. (2023). Identifying and ranking critical success factors for digital court. Journal of Organizational Change Management. 36(6). 1077–1094. 1 indexed citations
4.
Rouhani, Saeed, et al.. (2022). Sentiment analysis researches story narrated by topic modeling approach. SHILAP Revista de lepidopterología. 6(1). 100309–100309. 6 indexed citations
5.
Rouhani, Saeed, et al.. (2022). A Novel Hybrid Forecasting Approach for Customers Churn in Banking Industry. Journal of Information & Knowledge Management. 22(5).
6.
7.
Rouhani, Saeed, et al.. (2021). Big data platforms: in the lens of selection and evaluation approach. Journal of Decision System. 32(1). 19–48. 5 indexed citations
8.
Shirazi, Farid, et al.. (2021). New product success through big data analytics: an empirical evidence from Iran. Information Technology and People. 35(5). 1513–1539. 22 indexed citations
9.
Rouhani, Saeed, et al.. (2018). A Prototyping and Evaluation of Hospital Dashboard through End-User Computing Satisfaction Model (EUCS). SHILAP Revista de lepidopterología. 7 indexed citations
10.
Rouhani, Saeed, Amir Ashrafi, Ahad Zare Ravasan, & Samira Afshari. (2018). Business Intelligence Systems Adoption Model. Journal of Organizational and End User Computing. 30(2). 43–70. 34 indexed citations
11.
Rouhani, Saeed, et al.. (2017). What do we know about the big data researches? A systematic review from 2011 to 2017. Journal of Decision System. 26(4). 368–393. 5 indexed citations
12.
Rouhani, Saeed, et al.. (2017). Data Mining Approach based on Neural Network and Decision Tree Methods for the Early Diagnosis of Risk of Gestational Diabetes Mellitus. SHILAP Revista de lepidopterología. 4(1). 59–68. 2 indexed citations
13.
Rouhani, Saeed, et al.. (2016). Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Rouhani, Saeed & Ahad Zare Ravasan. (2016). Fuzzy TOPSIS evaluation approach for business process management software acquisition. Intelligent Automation & Soft Computing. 23(3). 459–468. 5 indexed citations
15.
Ravasan, Ahad Zare, et al.. (2014). A Review for the Online Social Networks Literature (2005-2011). Journals & Books Hosting (International Knowledge Sharing Platform). 6(4). 22–37. 4 indexed citations
16.
Rouhani, Saeed, et al.. (2013). Identification and classification of affecting factors on e-tourism in Iran.. Middle East journal of scientific research. 16(10). 1361–1368.
17.
Rouhani, Saeed, et al.. (2013). Segmenting Critical Success Factors for ERP Implementation Using an Integrated Fuzzy AHP and Fuzzy DEMATEL Approach. 12 indexed citations
18.
Rouhani, Saeed, et al.. (2012). Financial Information Systems: Business Intelligence Perspectives (Iranian Companies listed on Stock Exchange Case Study). 2(2). 4 indexed citations
19.
Ghazanfari, Mehdi, Saeed Rouhani, Mostafa Jafari, & Peyman Akhavan. (2011). Association Rule Approach for Evaluation of Business Intelligence for Enterprise Systems. SSRN Electronic Journal. 1 indexed citations
20.
Rouhani, Saeed, Mehdi Ghazanfari, & Mostafa Jafari. (2011). Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS. Expert Systems with Applications. 39(3). 3764–3771. 137 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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